This paper investigates the finite-sample behaviour of sovereign credit migration estimators and analyzes the properties of the rating process. Through bootstrap simulations, we compare a discrete multinomial estimator and two continuous hazard rate methods which differ in that one neglects...

We investigate identifiability issues in DSGE models and their consequences for parameter estimation and model evaluation when the objective function measures the distance between estimated and model impulse responses. We show that observational equivalence, partial and weak identification...

This paper proposes a worst-case approach for estimating econometric models containing unobservable variables. Worst-case estimators are robust against the averse effects of unobservables and, unlike the classical literature, there are no assumptions made about the statistical nature of the...

Fully specified DSGE models are increasingly successful in explaining observed macroeconomic data. Thinking about the specification of a certain equation in a DSGE approach has the drawback of imposing many implicit priors on the specification of the remaining equations. Mis-specifications in...

The objective of this paper is to calculate, model, and forecast realized volatility using high-frequency stock-market index data. The approach differs from existing ones in several ways. First, it is shown that the decay of the serial dependence of high-frequency returns on the sampling...

In this paper we propose and estimate a dynamic structural model of fixed capital investment using firm-level Spanish data. We first characterize the optimal behavior of a firm facing uncertainty in demand and input prices, as well as kinked and lump-sum adjustment costs. This nonconvex...